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Journal article
Accounting for heterogeneity in behavioural responses to health-risk information treatments
Journal of environmental economics and policy, Vol.5(3), pp.283-297
09/01/2016
Web of Science ID: WOS:000388317900003
Abstract
Traditional revealed and stated preference models consider a typical individual's behavioural responses to various policy-based information treatments. For some cost-benefit applications in which resource managers are concerned with responses from a representative individual, this is sufficient. However, as behavioural responses to information treatments can vary across respondents, we develop a latent class analysis with covariates to examine unobserved heterogeneity responses to health-risk information treatments. Results from a probabilistic model indicate that classes of consumers respond differently to the health-risk information treatments. Principally, we find that the media form of the information treatment is important, with raw consumer groups typically more responsive to a brochure information treatment, while cooked oyster consumers are more responsive to the same information in a video format. We also find that a proposed US Food and Drug Administration policy on processing all raw oysters before market has a greater effect on reducing demand for consumers of cooked oysters. However, with an associated price premium, all consumer classes reduce demand. Overall, the results suggest that future policy-based research could benefit from examining potential heterogeneity in individuals' responses to risk information treatments in order to fully understand the efficacy of treatments on behaviour.
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Details
- Title
- Accounting for heterogeneity in behavioural responses to health-risk information treatments
- Publication Details
- Journal of environmental economics and policy, Vol.5(3), pp.283-297
- Resource Type
- Journal article
- Publisher
- Routledge
- Grant note
- The research was supported by Gulf Oyster Industry Program [grant number R/LR-Q-32].
- Copyright
- © Taylor & Francis 2016
- Identifiers
- WOS:000388317900003; 99380171945006600
- Academic Unit
- Commerce; Lewis Bear Jr. College of Business
- Language
- English